Time Series Analysis

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

Papers

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Showing 1061–1070 of 6748 papers

Title	Date	Tasks	Status	Score
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems	Apr 6, 2021	Representation LearningTime Series	CodeCode Available	5
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation	Sep 25, 2019	blind source separationTime Series	CodeCode Available	5
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction	Nov 15, 2022	Graph EmbeddingPrediction	CodeCode Available	5
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios	Jun 29, 2022	State Space ModelsTime Series	CodeCode Available	5
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions	Oct 14, 2022	Data AugmentationTime Series	CodeCode Available	5
Hide-and-Seek Privacy Challenge	Jul 23, 2020	De-identificationSynthetic Data Generation	CodeCode Available	5
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOps	Nov 13, 2022	CPUTime Series	CodeCode Available	5
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records	Aug 1, 2006	Dynamic Time WarpingManagement	CodeCode Available	5
Harnessing the power of Topological Data Analysis to detect change points in time series	Oct 28, 2019	Change Point DetectionTime Series	CodeCode Available	5
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classification	Jul 12, 2024	Activity RecognitionContrastive Learning	CodeCode Available	5

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All datasets PhysioNet Challenge 2012 Speech Commands Ventilator Pressure Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	naive classifier	F1	87.47	—	Unverified
2	GRU-D - APC (n = 1)	F1	27.3	—	Unverified
3	GRU-APC (n = 1)	F1	25.7	—	Unverified
4	GRU-D	F1	22.5	—	Unverified
5	GRU	F1	22.3	—	Unverified
6	GRU-Simple	F1	22.2	—	Unverified
7	GRU-Mean	F1	22.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SepTr	% Test Accuracy	98.51	—	Unverified
2	ViT	% Test Accuracy	98.11	—	Unverified
3	FlexTCN-4	% Test Accuracy	97.73	—	Unverified
4	MatchboxNet	% Test Accuracy	97.4	—	Unverified
5	CKCNN (100k)	% Test Accuracy	95.27	—	Unverified
6	FlexTCN-6	% Test Accuracy (Raw Data)	91.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResBiLSTM	MAE	0.13	—	Unverified